# Add fitted values, residuals, and other common outputs to an augment call

Source:`R/utilities.R`

`augment_columns.Rd`

`augment_columns`

is intended for use in the internals of `augment`

methods
only and is exported for developers extending the broom package. Please
instead use `augment()`

to appropriately make use of the functionality
in `augment_columns()`

.

## Usage

```
augment_columns(
x,
data,
newdata = NULL,
type,
type.predict = type,
type.residuals = type,
se.fit = TRUE,
...
)
```

## Arguments

- x
a model

- data
original data onto which columns should be added

- newdata
new data to predict on, optional

- type
Type of prediction and residuals to compute

- type.predict
Type of prediction to compute; by default same as

`type`

- type.residuals
Type of residuals to compute; by default same as

`type`

- se.fit
Value to pass to predict's

`se.fit`

, or NULL for no value- ...
extra arguments (not used)

## Details

Note that, in the case that a `residuals()`

or `influence()`

generic is
not implemented for the supplied model `x`

, the function will fail quietly.